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If you can afford the disk space, we recommend using our environment files for setting up a training environment identical to ours. If you want to make modifications, please note that major version changes might affect the results of our method. However, our (limited) experiments suggest that the codebase works just fine inside a more up-to-date environment (Python 3.8, PyTorch 2.0.0, CUDA 12). Make sure to create an environment where PyTorch and its CUDA runtime version match and the installed CUDA SDK has no major version difference with PyTorch's CUDA version.
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#### Known Issues
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Some users experience problems building the submodules on windows (```cl.exe: File not found``` or similar). Please consider the workaround for this problem from the FAQ.
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### Running
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To run the optimizer, simply use
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